176 to 200 of 212 TensorFlow Jobs

model versioning, monitoring, automation) Demonstrable experience building recommendation systems (collaborative filtering, content-based, hybrid approaches) Strong proficiency in Python and common ML libraries (TensorFlow, PyTorch) Experience working with large-scale data processing tools If you are interested in the Machine Learning Engineer role, please send an application detailing proof ...

hear from you. Experience developing, deploying or operating machine learning solutions in production environmentsFamiliarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologiesExperience training models using GPUs, or an interest in distributed computing and scalable machine learning systemsUnderstanding of software engineering fundamentals, including ...

Modelling Language Excellent communication skills Desirable Skills: Experience in the development of computer vision related products and services. Experience with visual processing libraries; OpenCV, TensorFlow, PyTorch etc. Experience in personnel management Experience operating as part of a multidisciplinary team Experience developing and/or implementing reference architectures Experience ...

observability and operational excellence. Experience working with large-scale data processing technologies such as Spark. Strong understanding of machine learning frameworks such as PyTorch, TensorFlow, XGBoost or similar technologies. Experience designing reliable APIs, services and platforms that support machine-learning-powered products. Ability to work through ambiguity and lead ...

quantisation, graph optimisation, operator fusionandprecision reductionExperience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size and accuracy. ...

provide the technical justification for critical architectural decisions in high-risk environments. You bring expert-level experience in operationalising models within frameworks like TensorFlow or PyTorch to solve complex, high-impact business challenges. You define the engineering standards and architecture patterns for agentic systems, ensuring teams build ...

Required Skills, Knowledge and ExpertiseHands-on training and evaluation of tabular models, using neural networks or gradient-boosted trees. Experience with PyTorch, PyTorch Lightning, TensorFlow, XGBoost, CatBoost or scikit-learn could all be relevant; no single framework is required. Experience designing features and labels, choosing metrics for the decision ...

machine-learning, generative-AI or LLM applications, gained through employment, industry or research internships, applied research or significant academic projects. Experience with PyTorch, JAX, TensorFlow or a similar framework. Familiarity with core agentic AI concepts such as tool calling, planning, memory and workflow orchestration. An understanding of reinforcement learning ...

architectures and Arm developer tools. Practical exposure to AI/ML frameworks deployed at the edge or cloud (e.g., ExecuTorch, Kleidi, Ethos-U, PyTorch, TensorFlow Lite).Experience designing structured learning curricula, lab exercises, or international developer hackathons. Key Performance Indicators (KPIs) & Success MetricsTechnology Penetration: Quantitative growth in Arm technology ...

technical design reviews and setting engineering standards for senior-level engineers. Deep expertise productionizing ML models for infrastructure operational data using frameworks such as TensorFlow, PyTorch, or scikit-learn, plus advanced, hands-on expertise with infrastructure-as-code and orchestration tooling - Terraform, Ansible, Kubernetes operators - including setting team conventions. ...

Minimum 2 years focused on AI/ML security Strong programming skills in Python/Java Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) Familiarity with AI tooling (e.g., LangChain, LlamaIndex, red-teaming toolkits) Proven ability to assess and secure AI systems end-to-end Nice to Have ...

deep learning and applied mathematicsProduction experience building agentic AI/LLM-based systemsStrong programming ability in Python, Rust, C++ or JavaExperience with PyTorch, JAX, TensorFlow or agent orchestration frameworksExcellent engineering judgement and the ability to turn research into robust, production-ready AIA genuine interest in solving difficult technical problems ...

data analytics. Preferred Qualifications:- Experience with mobile application development and advertising across iOS/Android- Experience with machine learning frameworks and libraries such as TensorFlow or KerasReq ID: A225725A ...

GitHub-based version control Agile delivery experience using JIRA and Confluence Desirable: Actimize or Fircosoft, other transaction monitoring, sanctions screening or market surveillance platforms, TensorFlow or PyTorch with model lifecycle management, clear communication with non-technical audiences What's On Offer Discretionary bonus 10% employer pension contribution, with matching ...

success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. ...

have experience across all the areas below. Relevant knowledge, practical experience, or exposure could include: Machine learning inference frameworks such as LiteRT, TensorFlow Lite, ONNX Runtime, or similar technologiesGPU programming or compute technologies such as Vulkan, OpenCL, TOSA, or compute kernelsMachine learning runtimes, compilers, drivers, or backend integrationComputational graphs ...

gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph ...

with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc. Experience in developing and shipping software products rapidly. Contributions to open-source projects. In this role, you will lead ...

learning, and deep learning Experience taking algorithms from concept through testing, validation, and deployment Strong Python and C++ programming skills Experience with OpenCV, PyTorch, TensorFlow, or similar frameworks Knowledge of camera, LiDAR, or multi-sensor perception systems Experience with software testing, integration, and Git-based development workflows Experience ...

between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree ...

successful projects showing computer vision skills in photon efficient or event-based imaging5+ years of programming experience in C++ and Python (e.g. PyTorch, TensorFlow)If you have a disability or special need that requires accommodation, please don't be shy and provide us some information."Default Together" Policy ...

level optimization. CMSIS-DSP, CMSIS-NN, or equivalent compute libraries. Ethos-U NPU or other AI accelerators. Audio processing, computer vision, or sensor fusion. TensorFlow Lite, ExecuTorch, or other embedded ML frameworks. Python scripting for automation, benchmarking, and performance analysis. Experience with FPGA prototypes or pre-silicon platforms. Deploying ...

VHDL or Verilog. Familiarity with modern software development workflows, version control (such as Git), and Agile methodologies. Exposure to machine learning frameworks (e.g., PyTorch, TensorFlow) or scientific data processing tools (NumPy, Pandas). Experience creating formal technical documentation, such as architecture diagrams, interface control documents, or API specifications. Previous ...

environments; Write efficient and maintainable code in languages such as GoLang, Python, Java, or C++. Implement algorithms and models using libraries and frameworks like TensorFlow, PyTorch, LangChain, Pandas, or Scikit-learn. Leverage modern AI-assisted development tools such as Codex, Claude Code, Cursor, and similar platforms to improve development … following areas: Experience using Python and machine learning libraries/frameworks including at least one of the following: Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow; experience with machine learning model development, feature engineering, and data analysis; experience with cloud infrastructure and deployment; Experience with Agile development processes. ...

infrastructure. Developing reusable, scalable solutions to accelerate the delivery of ML systems. Operationalising machine learning models built using frameworks such as Scikit-learn, TensorFlow or PyTorch. Working across cloud platforms and infrastructure, including architecture and security considerations. Using Docker and Kubernetes to build, deploy and manage applications at scale. … models from development through to production. Understanding of the full machine learning lifecycle and experience operationalising models built with frameworks such as Scikit-learn, TensorFlow or PyTorch. Hands-on experience with cloud platforms such as AWS, Azure or GCP, including infrastructure, architecture and security. Experience with Docker and Kubernetes. ...